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https://www.selleckchem.com/products/rmc-9805.html identifier ChiCTR2000029955.Tuberculosis (TB) kills more people than any other infectious disease. Challenges for developing better treatments include the complex pathology due to within-host immune dynamics, interpatient variability in disease severity and drug pharmacokinetics-pharmacodynamics (PK-PD), and the growing emergence of resistance. Model-informed drug development using quantitative and translational pharmacology has become increasingly recognized as a method capable of drug prioritization and regimen optimization to efficiently progress compounds through TB drug development phases. In this review, we examine translational models and tools, including plasma PK scaling, site-of-disease lesion PK, host-immune and bacteria interplay, combination PK-PD models of multidrug regimens, resistance formation, and integration of data across nonclinical and clinical phases.We propose a workflow that integrates these tools with computational platforms to identify drug combinations that have the potential to accelerate sterilization, reduce relapse rates, and limit the emergence of resistance. (1) To identify factors associated with severe dysfunctional larynx leading to total laryngectomy after curative treatment of head and neck squamous cell carcinoma and (2) to describe swallowing and voice outcomes. Retrospective single-institution case-control study. Tertiary care referral center. A 10-year chart review was performed for patients who had previously undergone radiation or chemoradiation for head and neck mucosal squamous cell carcinoma and planned to undergo total laryngectomy for dysfunctional larynx, as well as a control group of matched patients. Controls were patients who had undergone radiation or chemoradiation for mucosal squamous cell carcinoma but did not have severe dysfunction warranting laryngectomy; these were matched to cases by tumor subsite, T stage, and time from last treatment to video swallow s

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